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Gliomas | Diagnosis | Magnetic resonance imaging
Home > Publications > Topics > Gliomas > Diagnosis > Magnetic resonance imaging
Li Z, Song Y, Farrukh Hameed NU,
Yuan S, Wu S, Gong X, Zhuang D, Lu J, Zhu F, Qiu T, Zhang J,
Aibaidula A, Geng X, Yang Z, Tang W, Chen H, Zhou L, Mao Y, Wu
J.
Effect
of high-field iMRI guided resection in cerebral glioma surgery: A
randomized clinical trial.
Eur
J Cancer. 2024
Jan 9;199:113528. doi:
10.1016/j.ejca.2024.113528. PMID:
38218157. Interventional study˰ ˍ
Zhao B, Yao J, Wang J, Li J, Shi W,
Zhang C, Zhao X, Qiao J, Ma Y, Xu Y, Zheng Z.
Usefulness
of magnetic resonance imaging characteristics in discriminating H3
K27M-mutant gliomas from wildtype gliomas in spinal cord.
Neurol
Sci. 2024 Jan 16.
doi:
10.1007/s10072-024-07315-z. PMID:
38228940. Observational study˰ ˍ
*Doniselli
FM, Pascuzzo R, Mazzi F, Padelli F, Moscatelli M, Akinci
D'Antonoli T, Cuocolo R, Aquino D, Cuccarini V, Sconfienza
LM.
Quality
assessment of the MRI-radiomics studies for MGMT promoter
methylation prediction in glioma: a systematic review and
meta-analysis.
Eur
Radiol.
2024 Feb 3. doi:
10.1007/s00330-024-10594-x. PMID:
38308012. Review, Meta-analysis. ˍ
*Won
SE, Suh CH, Kim S, Park HJ, Kim KW.
Summary
of Key Points of the Response Assessment in Neuro-Oncology (RANO)
2.0.
Korean
J Radiol.
2024 Apr 11. doi:
10.3348/kjr.2024.0016. PMID:
38627876. Editorial. ˍ
Cadrien C, Sharma S, Lazen P, Licandro R, Furtner J, Lipka A,
Niess E, Hingerl L, Motyka S, Gruber S, Strasser B, Kiesel B,
Mischkulnig M, Preusser M, Roetzer-Pejrimovsky T, Wöhrer A,
Weber M, Dorfer C, Trattnig S, Rössler K, Bogner W, Widhalm
G, Hangel G.
7 Tesla magnetic
resonance spectroscopic imaging predicting IDH status and glioma
grading.
Cancer
Imaging. 2024 May 27;24(1):67. doi:
10.1186/s40644-024-00704-9. PMID:
38802883.
Observational study. ˍ
Śledzińska-Bebyn P,
Furtak J, Bebyn M, Serafin Z.
Beyond
conventional imaging: Advancements in MRI for glioma malignancy
prediction and molecular profiling.
Magn
Reson Imaging.
2024 Jun 22;112:63-81. doi:
10.1016/j.mri.2024.06.004. PMID:
38914147. Review˰
ˍ
Menna
G, Marinno S, Valeri F, Mahadevan S, Mattogno PP, Gaudino S, Olivi
A, Doglietto F, Berger MS, Della Pepa GM.
Diffusion
tensor imaging in detecting gliomas sub-regions of infiltration,
local and remote recurrences: a systematic review.
Neurosurg
Rev.
2024 Jul 2;47(1):301. doi:
10.1007/s10143-024-02529-3. PMID:
38954077. Review˰ ˍ
Park JE, Park YW, Kim YH, Song SW, Hong CK, Kim JH, Kim HS.
Determining Progressive Disease Using
RANO 2.0-Further Clarifications and Explanations.
Korean
J Radiol. 2024 Jul 15. doi:
10.3348/kjr.2024.0476. PMID:
39028016. Comment. ˍ
RELATED
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*Won SE, Suh CH, Kim S, Park HJ, Kim KW.
Summary
of Key Points of the Response Assessment in Neuro-Oncology (RANO)
2.0.
Korean
J Radiol.
2024 Apr 11. doi:
10.3348/kjr.2024.0016. PMID:
38627876. Editorial. ˍ
Wach J, Vychopen M, Basaran AE, Güresir A, Seidel C,
Kühnapfel A, Güresir E.
Efficacy
and safety of intraoperative MRI in glioma surgery: a systematic
review and meta-analysis of prospective randomized controlled
trials.
J
Neurosurg. 2024 Dec 6:1-12. doi:
10.3171/2024.7.JNS241102. PMID:
39642374. Review; Meta-analysis˰
ˍ
Seker S, Altay T, Uysal E, Cine HS, Yavuz AY, Avci I.
The
correlation histopathological and conventional/advanced MRI
techniques in glial tumors.
Cir
Cir. 2025 Jan 9. doi:
10.24875/CIRU.23000648. PMID:
39787621. Observational study. ˍ
Abbad Andaloussi M, Maser R, Hertel F, Lamoline F, Husch AD.
Exploring adult glioma through MRI: A
review of publicly available datasets to guide efficient image
analysis.
Neurooncol
Adv. 2025 Jan 28;7(1):vdae197. doi:
10.1093/noajnl/vdae197. PMID:
39877749. Review. ˍ
Spectroscopy
McHugh FA, Jiang J, Luton H, Parkinson J, Cook R, Newey A, Choi C,
Kastelan M, Horsley P, Back M, Drummond J. 2-Hydroxyglutarate
magnetic resonance spectroscopy for preoperative IDH molecular
profiling - A review of the literature and real-world clinical
translation in a busy neurosurgical neuro-oncology unit.
J
Clin Neurosci. 2025 Jan 29;133:111062. doi:
10.1016/j.jocn.2025.111062. PMID:
39986710. Observational study; Review˰
ˍ
Diffusion-derived vessel density
Ni CX, Lin RL, Yao DQ, Ma FZ, Shi YT, He YY, Song Y, Yang G, Jiang
RF, Wáng YXJ.
Magnetic
resonance diffusion-derived vessel density (DDVD) as a valuable
tissue perfusion biomarker for isocitrate dehydrogenase genotyping
in diffuse gliomas.
BMC
Med Imaging. 2025 Mar 6;25(1):79. doi:
10.1186/s12880-025-01605-4. PMID:
40050759. Observational study.
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